A look at the limitations of deep learning, and how “neurosymbolic” approaches to AI could offer a way forward for developing artificial general intelligence
Let me start by saying a few things that seem obvious," Geoffrey Hinton, “Godfather” of deep learning …
Deep Learning Is Hitting a Wall. What would it take for artificial intelligence to make real progress? #longread in @NautilusMag on one of the key technical questions in AI. https://nautil.us/...
“we may already be running into scaling limits in #deeplearning”. Bad news for the #AutonomousVehicles industry “which has largely banked on scaling”. If scaling doesn't get us to safe autonomous driving, big investments will have been in vain. @GaryMarcus https://nautil.us/...
Great read >> #DeepLearning Is Hitting a Wall “To think that we can simply abandon symbol-manipulation is to suspend disbelief.” ~ @GaryMarcus https://nautil.us/... #ArtificialIntelligence #MachineLearning
Brilliant prose, provocative sound bites, along with clear and cogent arguments. It's the perfect anti-dote to...so many things... I *love* reading @GaryMarcus https://twitter.com/...
But language is precise - humans communicate with assumed knowledge and disambiguating in context. The natural language interface will take a leap forward with machine readable meaning “Deep learning is at its best when all we need are rough-ready results” https://nautil.us/... h…